|
|
Absolute deviation, 绝对离差
$ L- k I$ G/ W" ^Absolute number, 绝对数* }% _' X4 z5 G. W
Absolute residuals, 绝对残差" g9 E) }* ~5 {2 S, d
Acceleration array, 加速度立体阵9 d8 x: \3 v; |* u4 I. {
Acceleration in an arbitrary direction, 任意方向上的加速度
1 H, z2 n% @: S! `7 k( qAcceleration normal, 法向加速度
7 w5 L4 h% T: w) b! xAcceleration space dimension, 加速度空间的维数8 T7 D1 B' G2 r8 `# x, D" o
Acceleration tangential, 切向加速度0 y0 o4 C/ }* S$ q4 j5 j4 W) Z% B
Acceleration vector, 加速度向量- ^+ m* q+ I& P
Acceptable hypothesis, 可接受假设
* }" g& ]4 l5 O8 l) YAccumulation, 累积
- v* G, z+ ?! JAccuracy, 准确度
& y# m& P" w" ?6 z4 z' j* KActual frequency, 实际频数
3 I1 d9 Y/ D5 E/ IAdaptive estimator, 自适应估计量) T, _5 L; c3 s
Addition, 相加7 G4 J0 O& G- K, o5 h: h
Addition theorem, 加法定理8 D- s( c6 W- y' g4 P& X- T
Additivity, 可加性
; Y. A3 b. R, J5 e2 [Adjusted rate, 调整率
0 q7 \3 h g% f# f* A$ A1 Z; C6 fAdjusted value, 校正值; U( t8 f1 e" S. n! g3 U* j2 J
Admissible error, 容许误差0 [* X8 E( E" V2 S
Aggregation, 聚集性( w: M, Q2 F+ m% ]2 b: r
Alternative hypothesis, 备择假设
5 g* g7 A) A$ P7 A. P/ mAmong groups, 组间, v! H' V3 q* |. C
Amounts, 总量* M- f C; H% V, x
Analysis of correlation, 相关分析
! D; j0 Q1 O; G8 \1 F# b1 wAnalysis of covariance, 协方差分析
& Y$ c6 c" R* s1 p) HAnalysis of regression, 回归分析+ {2 Y/ f4 B B% t% S
Analysis of time series, 时间序列分析
4 V. o; Z* I# ~% tAnalysis of variance, 方差分析
. g0 B+ n8 B7 P& V% X: D+ zAngular transformation, 角转换; e3 Y- m: O* ~& F! N
ANOVA （analysis of variance）, 方差分析/ G- p- u/ P: X
ANOVA Models, 方差分析模型 r" \9 e; M6 d+ c8 Q
Arcing, 弧/弧旋
6 ], t6 h# b) m2 dArcsine transformation, 反正弦变换
6 @: H* B& W. i& hArea under the curve, 曲线面积, S3 @9 E7 ~. q9 L: n
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
0 d3 V, ?# s# T! |, E8 ~$ oARIMA, 季节和非季节性单变量模型的极大似然估计 4 ?& W: ~$ p* z" S1 l
Arithmetic grid paper, 算术格纸
3 ^* b2 e: v7 g1 K+ M; j7 IArithmetic mean, 算术平均数
3 b" _/ r& S3 n4 uArrhenius relation, 艾恩尼斯关系/ x# N( Q; a( b/ `; r, x
Assessing fit, 拟合的评估' Z! w" y6 b+ p3 ]" Q+ P3 Z7 m
Associative laws, 结合律! A) F9 l& o, ?( R& q. h5 ^
Asymmetric distribution, 非对称分布$ ^3 h) C) J% z# w5 a
Asymptotic bias, 渐近偏倚( z v+ Y1 n* m0 W/ \1 A
Asymptotic efficiency, 渐近效率
% z6 r7 [) J `; ~Asymptotic variance, 渐近方差) N ?8 @& m( V
Attributable risk, 归因危险度% `& {9 `: C2 B7 `3 a0 ^ V
Attribute data, 属性资料: s# A$ ~) U9 ^3 g1 A
Attribution, 属性; x, T: ~* k4 M* ~$ y s
Autocorrelation, 自相关
; k" m* Y7 g9 n- {7 G% v( s+ k3 CAutocorrelation of residuals, 残差的自相关
3 P O, y2 I# b# [) b# u8 ~, GAverage, 平均数
! X$ C$ b3 _) RAverage confidence interval length, 平均置信区间长度
% v! W4 n. ?9 x/ K% gAverage growth rate, 平均增长率
! Z0 S5 ~) R& P1 T4 sBar chart, 条形图
) ^2 Y& A0 n6 N- L+ F% qBar graph, 条形图
3 Z/ q* V( z5 MBase period, 基期
) I$ R; H% w8 d( b/ B" J. L: IBayes' theorem , Bayes定理
+ g7 u+ Z& b/ W" q$ T1 eBell-shaped curve, 钟形曲线* i3 {; @5 Q- e( ^% H1 }8 H
Bernoulli distribution, 伯努力分布 X C, G7 k/ j @7 @% @
Best-trim estimator, 最好切尾估计量* |# V5 P- P2 Z
Bias, 偏性! ~! g+ C) Z- r6 ?1 T' V3 f
Binary logistic regression, 二元逻辑斯蒂回归
7 p3 ?- C& e" J' k/ U$ n) P1 wBinomial distribution, 二项分布& i& N O6 W0 f5 x4 f) i+ v5 p
Bisquare, 双平方
* ], y6 _. x5 EBivariate Correlate, 二变量相关 W5 N( ?1 I. @ C% \
Bivariate normal distribution, 双变量正态分布
8 x1 u/ n2 X FBivariate normal population, 双变量正态总体
' E/ ]& G& [6 C: ]4 WBiweight interval, 双权区间
5 e2 |& a: v9 jBiweight M-estimator, 双权M估计量
0 w j: W/ [9 d7 F! |Block, 区组/配伍组6 D/ @1 {+ l, u: Q% Y- C
BMDP(Biomedical computer programs), BMDP统计软件包' |- |& d" s) N7 I% q
Boxplots, 箱线图/箱尾图+ d; J/ O& k' I# O' J9 i8 K
Breakdown bound, 崩溃界/崩溃点
6 G) M: [( r# y/ e7 _, PCanonical correlation, 典型相关( r' I: q! t1 N; _, {' u
Caption, 纵标目2 r* ?4 E9 l; l* M4 V
Case-control study, 病例对照研究/ [/ n2 l* x/ A2 Y. I0 Q( F
Categorical variable, 分类变量
! Q) V% }- _3 G, BCatenary, 悬链线" [ B6 w7 ` t, P# H
Cauchy distribution, 柯西分布6 @" k8 B% x$ w* j; }4 b( Q/ K; t
Cause-and-effect relationship, 因果关系
) F! l8 S) j j/ rCell, 单元
9 F. d' s2 N- ]* N, U) _! h# eCensoring, 终检% C3 b5 ~# C+ _9 F
Center of symmetry, 对称中心
& y& a. Q: S4 }5 m# ]" }0 d ZCentering and scaling, 中心化和定标: Q7 N5 m' J7 p E) ~3 D1 x7 z
Central tendency, 集中趋势
# \. i/ ?; R8 L7 r- [Central value, 中心值
|# `: r5 E' K/ M: }CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ ~. k% d, q6 [
Chance, 机遇( H7 P% L( A; S- V) _. ^
Chance error, 随机误差
) u/ F4 j; W, h; @! }$ O+ YChance variable, 随机变量7 r: A3 B6 P, I1 P$ n) Z
Characteristic equation, 特征方程
; y( p3 o% q. vCharacteristic root, 特征根1 N) Q$ A6 Y' P0 c+ U0 T" W
Characteristic vector, 特征向量3 \7 n8 h- r' P( Y' e$ T% z
Chebshev criterion of fit, 拟合的切比雪夫准则
8 m! U; X$ G5 qChernoff faces, 切尔诺夫脸谱图
9 i+ X! ^7 z% A) H0 a+ yChi-square test, 卡方检验/χ2检验, j& H6 e& {, }' [ t. y# Y
Choleskey decomposition, 乔洛斯基分解
4 J1 m/ n+ J1 F( h9 I5 h$ sCircle chart, 圆图 ( H: K& H1 P5 y; o) H* Q) Q0 N3 `9 N
Class interval, 组距
$ H3 |: N7 @$ X3 b+ ]# k: e6 ]2 wClass mid-value, 组中值
3 }* H5 P0 P% B7 }: L- CClass upper limit, 组上限2 c3 M! q: Y5 O- Q: \1 `
Classified variable, 分类变量
4 L5 p6 S) B( |! a# {) ~& a9 }9 ECluster analysis, 聚类分析) D0 g m0 h) W: `
Cluster sampling, 整群抽样' H2 A. S' t' y9 Q4 X
Code, 代码$ j- [7 F) q8 Y2 C8 h3 U8 L& G
Coded data, 编码数据
; L( O8 U Y% J. m6 f0 h9 a( @Coding, 编码* r/ D2 x) V2 M L+ y
Coefficient of contingency, 列联系数* E* P/ r- Q1 X" L( ]
Coefficient of determination, 决定系数
( B+ u2 H7 I4 Y- `Coefficient of multiple correlation, 多重相关系数7 ]$ u& ^+ j8 ]2 m
Coefficient of partial correlation, 偏相关系数
$ I# x$ o0 ]% [* c0 eCoefficient of production-moment correlation, 积差相关系数% t# b5 [" F+ _* L! ~( I" R" y
Coefficient of rank correlation, 等级相关系数; H. P% H. j/ g
Coefficient of regression, 回归系数
& b- H2 \) I% \! a# m# JCoefficient of skewness, 偏度系数
8 A- H2 K8 B, P' x( mCoefficient of variation, 变异系数1 O* c1 n3 v3 a8 w6 B8 W- ^* D. Q, ~; V8 A
Cohort study, 队列研究% d1 j+ `4 c$ ~$ X0 r$ P
Column, 列1 P7 ^3 {, y; u2 S
Column effect, 列效应
! H2 o4 W2 Q8 S5 X9 nColumn factor, 列因素
( z$ m- B. N! a6 ACombination pool, 合并
) X5 ~5 _ r1 w$ MCombinative table, 组合表' C ^3 `& @# M) G$ _. s
Common factor, 共性因子. A8 T! k- g M* u! V' r
Common regression coefficient, 公共回归系数* w1 H9 A6 z/ i4 w
Common value, 共同值0 i/ L6 u5 M: d+ g7 y( \
Common variance, 公共方差1 w, }+ q( L& c, D$ `$ [
Common variation, 公共变异
# W5 G0 g( n3 s8 v# aCommunality variance, 共性方差, V. Q# z1 G/ p7 A4 K1 R
Comparability, 可比性5 j X5 ?5 \6 p! C
Comparison of bathes, 批比较+ |7 f8 _$ X! X! R0 e; B
Comparison value, 比较值) D8 L& Z' ~' R
Compartment model, 分部模型
! t! {' C8 `; Q: d; C: E7 e7 n* l- BCompassion, 伸缩. U, L, Z0 q/ t+ U2 J; W
Complement of an event, 补事件
! f3 P3 G5 U4 l; _6 dComplete association, 完全正相关7 ^/ u; ]! {, l% G8 E! p
Complete dissociation, 完全不相关
7 _0 v' N+ g$ e. R5 {* U6 c1 ~" Q3 `% AComplete statistics, 完备统计量, Y1 ~/ n( M8 v' N+ C' F
Completely randomized design, 完全随机化设计2 r: H( Q% P) x# Y8 a7 u' c+ f4 E
Composite event, 联合事件! a" H- Q6 t0 B8 _! k# e. _
Composite events, 复合事件! @/ _) Q2 P9 Y( g3 }
Concavity, 凹性* _) l, J) A; k! l) |8 ?
Conditional expectation, 条件期望! }, N2 o; N6 _- V9 D' ~
Conditional likelihood, 条件似然
4 g4 u. I0 @- |- t$ KConditional probability, 条件概率
/ ?$ |2 K- ^3 k' [* ^, Q8 ]+ a, rConditionally linear, 依条件线性
" k# ~" [* n; e0 c3 B2 `Confidence interval, 置信区间7 M5 w$ `% Z8 Y1 b0 w! q1 I
Confidence limit, 置信限
) R, E/ z3 f4 c0 |; r) [& jConfidence lower limit, 置信下限
' g" U3 Y F3 _3 j& k$ VConfidence upper limit, 置信上限' h- Y6 U& f: b9 R; X
Confirmatory Factor Analysis , 验证性因子分析
! h+ C( y) `3 TConfirmatory research, 证实性实验研究3 E% S! o) M ^; g
Confounding factor, 混杂因素- V1 N) d1 ?; j# h' e4 m2 h
Conjoint, 联合分析
+ t" ]/ b4 P$ a* E% Q- G, yConsistency, 相合性- H7 n2 A% ?) t H
Consistency check, 一致性检验& B- c/ g3 ^' i) c7 Y
Consistent asymptotically normal estimate, 相合渐近正态估计6 ?; R4 U( V( i. ]* _1 }& d
Consistent estimate, 相合估计2 F0 ~8 ^9 n/ x
Constrained nonlinear regression, 受约束非线性回归( O- n1 z4 B) b$ z
Constraint, 约束
" E5 X& n8 q* ^- ~Contaminated distribution, 污染分布, _' Z6 B( X# P$ @
Contaminated Gausssian, 污染高斯分布
6 `0 A/ W8 R: @2 O# s! ]" LContaminated normal distribution, 污染正态分布
( c I; @; {3 d/ X, I Q0 U1 VContamination, 污染
4 v. N6 u8 N1 `3 [4 a; S4 N" _Contamination model, 污染模型
) C: l# S! a! R! L7 {Contingency table, 列联表, z! S0 ?+ v$ Z4 C$ |6 d% V+ j
Contour, 边界线
+ _$ Q0 b# F. A* v3 y9 i3 v3 BContribution rate, 贡献率
, v2 N2 u7 l. @ R/ O. [Control, 对照
5 L8 y- b; t& c( W8 YControlled experiments, 对照实验& Y: E0 J* c5 q- s
Conventional depth, 常规深度* J0 M% Q) U0 a2 R# M A. j+ A
Convolution, 卷积' W% I% ?- \$ Q$ c6 I! j
Corrected factor, 校正因子
4 ~; }2 d/ S; o& F: ~8 LCorrected mean, 校正均值
) M. Q4 E) W5 BCorrection coefficient, 校正系数
, ^- a5 @6 T4 y L! sCorrectness, 正确性# M( |9 S6 g4 f6 j
Correlation coefficient, 相关系数9 y8 b- e2 X1 C- y# ~* {
Correlation index, 相关指数
7 I o, E# S/ eCorrespondence, 对应
* O f$ }1 M; D" {( R: ECounting, 计数' e; ?9 N4 i, ]/ k! j" ~5 T
Counts, 计数/频数4 v! B) X' d, S( |( F8 M) e
Covariance, 协方差& C# B# C8 U" |% Q `* o
Covariant, 共变
6 e" W) P4 C" l7 zCox Regression, Cox回归! u+ c7 f* k. v. U' S
Criteria for fitting, 拟合准则
) P# \, Q$ i+ P+ J; |: J; Z! M* \Criteria of least squares, 最小二乘准则
8 A, d. l9 b) H& \ rCritical ratio, 临界比
, O. {+ K) j8 N3 @4 P$ oCritical region, 拒绝域
0 U, J9 j8 L* ~9 N B3 bCritical value, 临界值$ w' N) G9 B% J" o- ^# v
Cross-over design, 交叉设计0 [6 d. F G3 J) |- x* i( P
Cross-section analysis, 横断面分析
# C) ]8 o3 P! F [5 j+ U; dCross-section survey, 横断面调查* T! \: ~& D) q- c9 w1 S1 z' M
Crosstabs , 交叉表 / G; O! N6 y) C2 Z3 _
Cross-tabulation table, 复合表
. |# J9 a4 a9 U; \; c ~- {Cube root, 立方根9 E7 B j& A! A' M& {! s7 s* q4 w
Cumulative distribution function, 分布函数" B( c/ V a- p! t, n* _ a. ]
Cumulative probability, 累计概率+ a' e8 S- F( R
Curvature, 曲率/弯曲+ M3 s( \: J6 O, k7 E% N
Curvature, 曲率
i' ?) I2 m- z4 F! x8 U$ dCurve fit , 曲线拟和 5 t% a* Y1 p6 l) ]: {% \
Curve fitting, 曲线拟合! x+ E" Q/ V1 `0 D% N
Curvilinear regression, 曲线回归9 g6 l3 m; {7 Y4 I4 q" U6 f2 Y
Curvilinear relation, 曲线关系, T& H% H8 w# F" s+ A# c0 v
Cut-and-try method, 尝试法
3 U. W3 @! `8 WCycle, 周期( h1 o: {; t" p7 q. w# I4 D
Cyclist, 周期性
8 W/ D, O; ?. d1 Q, {& n8 MD test, D检验- I3 f3 K" k0 A& i
Data acquisition, 资料收集/ O6 K3 T# s2 i# ~2 v+ l
Data bank, 数据库
" k2 h! x. q; u( rData capacity, 数据容量
( [9 s W( F* H, C9 a# p. ]Data deficiencies, 数据缺乏
1 t* O" ~0 n2 F- F! r# _Data handling, 数据处理) ]- I4 s: _. s
Data manipulation, 数据处理% Z$ q S, s& ~( i$ E
Data processing, 数据处理
- v, ?( l* l+ N# K$ s& S6 EData reduction, 数据缩减9 }1 a5 f* L( ?0 Z: k. m$ E |
Data set, 数据集
- S9 F- N: W% u I( D9 TData sources, 数据来源- o/ H! O3 |1 [9 G
Data transformation, 数据变换
2 w+ | h: q# N) d0 `Data validity, 数据有效性
; a. x' x6 y8 E% @Data-in, 数据输入$ D( ^8 }, r1 H" X9 Q
Data-out, 数据输出6 S8 ]) Y+ d$ K6 S) U3 d
Dead time, 停滞期
% B8 d$ A5 M# {9 k& dDegree of freedom, 自由度% M. o5 @0 {' ~ D; X' w
Degree of precision, 精密度 C. {1 x5 t' B* C+ B
Degree of reliability, 可靠性程度
# j. Y5 r3 d# Z+ _Degression, 递减
8 h1 s7 W& G$ Y9 z6 M& z0 w6 tDensity function, 密度函数+ A8 j8 T* s. @& Q0 W* {( r
Density of data points, 数据点的密度: v9 B! n: g. Y0 V% U
Dependent variable, 应变量/依变量/因变量+ s( J( n- @- z$ `& x
Dependent variable, 因变量
! |! ]& }! G1 `2 _2 D xDepth, 深度
" o7 n# k5 r9 @# K L+ r$ z% wDerivative matrix, 导数矩阵
# v o; _6 h6 q1 d& v: H) l0 rDerivative-free methods, 无导数方法4 o6 A) r l: T1 e3 d1 P
Design, 设计' w0 B9 }, j2 @
Determinacy, 确定性. O" Z3 J m I5 d1 `
Determinant, 行列式
, C# M- e \3 { T; w$ e3 A+ cDeterminant, 决定因素
7 |4 M; Y- F4 N8 r* G5 S% T* dDeviation, 离差
5 X7 v( r6 J" {$ bDeviation from average, 离均差+ t* l! }: `8 P) `$ _$ i
Diagnostic plot, 诊断图9 |( m8 v4 k" K R7 u, k
Dichotomous variable, 二分变量
2 g$ u7 v7 _+ R. ?8 R) \( vDifferential equation, 微分方程: {$ n! d( e7 ]& y1 I+ _5 T$ j0 E
Direct standardization, 直接标准化法
4 s! q/ V* F: n6 tDiscrete variable, 离散型变量
' n/ X9 g; F' m! y6 g) p! YDISCRIMINANT, 判断
# A; ^6 B; `* V0 G: {% c0 HDiscriminant analysis, 判别分析
$ k6 j: z9 P o$ |$ CDiscriminant coefficient, 判别系数
M ?& j: f. l. E& q* KDiscriminant function, 判别值
2 N+ D& J( }% V) d c' LDispersion, 散布/分散度
) j7 U. `% F0 r1 R. YDisproportional, 不成比例的
* h, ~1 m! p9 _$ J* }, m0 T+ y5 FDisproportionate sub-class numbers, 不成比例次级组含量
2 Z( D. r: T4 D& | m$ aDistribution free, 分布无关性/免分布
, g. O" ]0 ^( E' |& H- }Distribution shape, 分布形状
7 S/ \# S, ^# B- c" `; |% f. FDistribution-free method, 任意分布法* T* L3 v6 k! J0 ^: C
Distributive laws, 分配律1 h* H" g; ?$ I* v* L; D
Disturbance, 随机扰动项
* T/ a+ U5 X; O' r; E9 v, W3 T; ODose response curve, 剂量反应曲线$ g5 {5 @6 K: {9 I, e
Double blind method, 双盲法7 @ y' K( s) j* e6 Z0 x
Double blind trial, 双盲试验
3 l6 A% J( [ I l5 xDouble exponential distribution, 双指数分布6 R9 X8 l, T% z% W; y- k* v
Double logarithmic, 双对数8 Q' K5 Q$ ~0 N7 P
Downward rank, 降秩
6 w/ C$ \/ L' ]/ W( k# l" nDual-space plot, 对偶空间图
! t% F8 `2 M; q7 G! wDUD, 无导数方法
5 C H8 Y$ z6 i: q4 Q7 p2 GDuncan's new multiple range method, 新复极差法/Duncan新法
5 W: L8 N& h4 T" ?Effect, 实验效应
' x3 e; l- z$ c& W" a! WEigenvalue, 特征值
& ^( {/ M# e( }* U! sEigenvector, 特征向量" N1 _9 G4 d* ^: D5 M
Ellipse, 椭圆4 c( q% R% O, F* z4 r9 b
Empirical distribution, 经验分布9 r L3 I0 n- c0 p# y4 @
Empirical probability, 经验概率单位0 w1 E! T; `7 h8 E
Enumeration data, 计数资料
+ d! _1 C& f) W1 X# q: t9 T' lEqual sun-class number, 相等次级组含量' @ t5 o. x9 O0 M
Equally likely, 等可能
0 M/ Y: V5 F: y8 r, nEquivariance, 同变性# P4 o% U2 `8 I3 _5 Z) C
Error, 误差/错误
0 H$ u2 x/ Y, v" GError of estimate, 估计误差
: Q3 k3 V# c- L+ `8 |) IError type I, 第一类错误7 s# ^2 V5 y' A/ V3 G
Error type II, 第二类错误
f3 I' R$ n! H+ q! K9 lEstimand, 被估量
9 N# h& L4 m1 a' Y( `) @; W8 s% `1 r( xEstimated error mean squares, 估计误差均方6 h0 v' C$ \% j
Estimated error sum of squares, 估计误差平方和& Y, d, |$ ]9 c- w8 V, R* O
Euclidean distance, 欧式距离; B0 w% C5 F% \+ u6 ~
Event, 事件" [: c, R5 h2 \& l% [# q% i
Event, 事件
$ G. i0 B1 M- F$ xExceptional data point, 异常数据点
) j2 j, i" l& Y8 l( {3 f% JExpectation plane, 期望平面
" z' l8 t1 z4 q% ?1 o7 EExpectation surface, 期望曲面) I7 u: N8 a: D- f
Expected values, 期望值
D) P2 M# q' w: ]1 {2 ~# ~+ d# B* ^Experiment, 实验
/ `* q6 ?0 y" E1 d/ ^( }Experimental sampling, 试验抽样* ]* z* D- P0 k1 K: |
Experimental unit, 试验单位( Q& G* S8 |- d0 {! k: E
Explanatory variable, 说明变量/ {3 k; y# X; Q% n6 m& B. g4 l
Exploratory data analysis, 探索性数据分析
+ N% U/ D: m* Q- FExplore Summarize, 探索-摘要& W7 l3 I" |" O# x" b( n1 M
Exponential curve, 指数曲线
: L$ f; @; V" d. ]0 p6 ]4 Z9 f" rExponential growth, 指数式增长
2 ~4 A2 D2 Z3 t: sEXSMOOTH, 指数平滑方法
X7 `( ^/ ~! SExtended fit, 扩充拟合4 d" u9 q B. \' W* t
Extra parameter, 附加参数
/ n+ r& ?$ B WExtrapolation, 外推法% c/ P- H$ U7 U. k% E! Z0 C) q, Z
Extreme observation, 末端观测值8 c% d+ ?6 ` V
Extremes, 极端值/极值( n1 V3 U; Q9 ]
F distribution, F分布5 A6 l% s, z5 t4 u
F test, F检验
' z6 K! V4 I5 n3 c+ RFactor, 因素/因子
. z2 ?) x/ x% W& |! M% aFactor analysis, 因子分析
; L6 ~* Y1 h9 P( I& _4 l0 A9 ]Factor Analysis, 因子分析
( h8 D. s. o" E+ n' f! ~Factor score, 因子得分 9 t$ i% U$ J5 c9 A2 p. Z$ A+ Z
Factorial, 阶乘
* ?. o9 [3 H* O5 J IFactorial design, 析因试验设计
9 B' [% z3 d& j* KFalse negative, 假阴性6 ?4 l; ]5 \1 w( [ B; G
False negative error, 假阴性错误
: a( k2 i0 H1 I$ L! W9 f- JFamily of distributions, 分布族9 J& W0 q) v8 o+ U9 p: ` A0 i6 I
Family of estimators, 估计量族! W5 O6 k ~8 O5 L
Fanning, 扇面# K& a; P+ w$ ^
Fatality rate, 病死率
" j T3 N( D+ b+ ?) q4 [7 [Field investigation, 现场调查0 ], M! s2 q1 d& E
Field survey, 现场调查! M) K3 H" N0 F7 X" Y- ]/ E. F
Finite population, 有限总体
* Y" U9 ^3 ~8 o0 hFinite-sample, 有限样本
; A# e d4 @/ k( X$ N/ m! RFirst derivative, 一阶导数
+ I [- Y! u* u6 t% iFirst principal component, 第一主成分
# {' J/ B* u8 S" x) W! _First quartile, 第一四分位数
7 M/ y4 W T7 O" j5 `Fisher information, 费雪信息量
# j% V) R, }+ L- q$ t- G) }Fitted value, 拟合值- s, [; c N, B3 y9 P
Fitting a curve, 曲线拟合; b6 ?/ ?7 O' I$ O
Fixed base, 定基
8 b# `& w( Z; l* V9 DFluctuation, 随机起伏/ I9 d; z% F# s! m8 O& t' b
Forecast, 预测
8 q3 ~9 j/ P9 L3 \! dFour fold table, 四格表
. K4 S) u& a$ h/ m; B% qFourth, 四分点
5 W0 X3 U6 b% U. F- rFraction blow, 左侧比率
3 n* p8 u$ r" _0 d E* dFractional error, 相对误差
5 C$ N" Q( A2 _0 _Frequency, 频率 F% ^+ Q( w! @" ]# ]" g& _4 I
Frequency polygon, 频数多边图3 U% z2 d2 q5 p. y1 L" n
Frontier point, 界限点2 K# ?5 n; {" x7 l
Function relationship, 泛函关系7 y2 u; e3 S$ G% |, |
Gamma distribution, 伽玛分布
/ a9 t0 [5 F6 Y$ h& A' D ]& g4 z3 tGauss increment, 高斯增量7 [7 L" n; C' h! _9 M+ K$ G
Gaussian distribution, 高斯分布/正态分布
5 W' ]- W% k/ a9 W( IGauss-Newton increment, 高斯-牛顿增量
, a, V. k) C* P- h) r5 JGeneral census, 全面普查- R8 Q4 b0 b% {- z* S) q8 c/ _
GENLOG (Generalized liner models), 广义线性模型
( F. l, Y" H+ }3 z4 RGeometric mean, 几何平均数+ S- d( I% r8 A' q9 \6 R
Gini's mean difference, 基尼均差
4 o C9 `8 {3 x4 U" @GLM (General liner models), 一般线性模型 3 Q1 ~" ?9 F% z. y" a
Goodness of fit, 拟和优度/配合度/ Q2 B% J; `6 C' p* ~, u6 s: u) r
Gradient of determinant, 行列式的梯度
' u2 A" O9 }/ R2 }+ L- j% A# F1 tGraeco-Latin square, 希腊拉丁方
: y7 ~; o# j! E7 A( UGrand mean, 总均值
% @6 e W; X' E! j8 b( QGross errors, 重大错误
- E, \( }, ]* j. i. W* hGross-error sensitivity, 大错敏感度
, s+ y7 c! Y# y+ Y! KGroup averages, 分组平均2 I: s8 v/ S* i+ O. o6 Y/ v" |0 n
Grouped data, 分组资料
( L X: ]7 I/ b: }, v+ I( hGuessed mean, 假定平均数/ m7 k. j6 Y! H6 H; c- x
Half-life, 半衰期$ N& i2 o0 \: F
Hampel M-estimators, 汉佩尔M估计量2 Y- F. N2 f5 f8 `
Happenstance, 偶然事件6 e+ Z% {) `8 k3 ^/ v$ |
Harmonic mean, 调和均数5 o. M* Q, k2 L; C# H$ \7 s# N( k
Hazard function, 风险均数1 c3 P2 Q+ D+ A3 f
Hazard rate, 风险率0 p/ ~% D5 ~: i) y
Heading, 标目
, z R* A3 ?2 E C7 r" M$ DHeavy-tailed distribution, 重尾分布+ }6 l4 P* @' [. P3 |- D( a# a9 X
Hessian array, 海森立体阵
R% L, W6 Q4 h; J: ]2 e! cHeterogeneity, 不同质
" W' I) g6 L6 ~* d4 gHeterogeneity of variance, 方差不齐
( D) B* e! E: L8 p; E3 AHierarchical classification, 组内分组
* a3 B; J# O/ A5 y* V" L( WHierarchical clustering method, 系统聚类法: t; Y4 u0 w- U ]7 i1 ~
High-leverage point, 高杠杆率点
: g: x6 `5 r- s3 b. zHILOGLINEAR, 多维列联表的层次对数线性模型
& r7 Y1 b/ @6 L& Z6 OHinge, 折叶点* n4 ^& u& C9 A! a' h1 W% f) r/ b
Histogram, 直方图
8 {* J( T' l" t; [( }/ wHistorical cohort study, 历史性队列研究
! u) g, p7 @; U1 U& qHoles, 空洞
- P# Y+ {& X) L1 ^+ g8 C OHOMALS, 多重响应分析
# w' S s' f! D2 ? b D. wHomogeneity of variance, 方差齐性2 Q, Y& a) n# m# s, x; C% }
Homogeneity test, 齐性检验- q/ G4 d+ j& f
Huber M-estimators, 休伯M估计量3 N2 X9 {* ^ m% P5 x1 Y
Hyperbola, 双曲线1 f# K* i" n2 D& E
Hypothesis testing, 假设检验
8 \: ?& r* `' f5 J; tHypothetical universe, 假设总体% e2 g% d# C* h: V
Impossible event, 不可能事件3 s8 P7 s3 v/ j: m
Independence, 独立性$ N/ k" l. N! I, R% k* l4 R
Independent variable, 自变量
& b( t! ^% r1 g) k$ xIndex, 指标/指数
3 f5 {6 Z, `% L; P: k2 \Indirect standardization, 间接标准化法
5 r" h- _3 T1 Y; F9 P$ T' P# f% vIndividual, 个体: W! r5 U" o) O, B3 W) P
Inference band, 推断带% C! d; V9 P# g7 I D F/ w7 b# r
Infinite population, 无限总体, d) T0 e1 k7 Y( P [
Infinitely great, 无穷大
3 m! X9 e. [4 {Infinitely small, 无穷小
7 [- O7 f2 g' K3 G# o6 YInfluence curve, 影响曲线- R6 A: A% x/ p+ m' {1 ?" ~6 G
Information capacity, 信息容量6 ? X5 ~6 ]5 v2 j9 f6 L5 Q
Initial condition, 初始条件3 w; U: G f& i+ u. A) X
Initial estimate, 初始估计值
! t$ Q }2 c2 S) e8 ZInitial level, 最初水平6 h. P$ v$ A' e9 V. Y8 q
Interaction, 交互作用* o4 k% t4 r& P! }9 b, H
Interaction terms, 交互作用项5 Z9 a/ W( o0 K* x1 N- v
Intercept, 截距
l7 g, |! z j1 T3 W" J1 xInterpolation, 内插法
5 ]+ O/ k9 S; A, m; P x# y! TInterquartile range, 四分位距- d+ f& r% V% A7 ^8 `" j) }
Interval estimation, 区间估计
& [0 z3 y& q0 W: s7 P. rIntervals of equal probability, 等概率区间
; u8 K) t# J' ~& R, R+ C& ?Intrinsic curvature, 固有曲率6 ]/ _: C& b( O; U$ z B( S: e
Invariance, 不变性
5 x8 B5 t) n3 IInverse matrix, 逆矩阵
- \2 `0 U" N( a( |$ O: ?Inverse probability, 逆概率
2 l/ h$ I; q+ I2 w, ^$ P/ f qInverse sine transformation, 反正弦变换
6 w; \9 T$ e& XIteration, 迭代
4 E/ h3 Z6 |2 BJacobian determinant, 雅可比行列式9 i& _- r+ z" S( X& G( r4 H: R
Joint distribution function, 分布函数
! F9 M; ]2 F$ C( S( c' m0 X3 z1 lJoint probability, 联合概率
( O ?: x7 N1 H3 g/ ^+ hJoint probability distribution, 联合概率分布
; F1 h3 C0 w0 B: F' i8 VK means method, 逐步聚类法
3 \; R" x1 u: z& HKaplan-Meier, 评估事件的时间长度
% q3 T' z) I Y# WKaplan-Merier chart, Kaplan-Merier图
0 j/ i, k' y6 @+ N" ?7 x7 e2 XKendall's rank correlation, Kendall等级相关% N' q/ t4 p# S3 i- t0 \
Kinetic, 动力学 D) I, w( p7 A5 l
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
; i+ f1 Z* U9 \Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
9 @* }- t/ z0 C4 p% g+ OKurtosis, 峰度) d! o7 i8 W }. [. A& @
Lack of fit, 失拟7 q g# M* b0 M; ^. N7 t
Ladder of powers, 幂阶梯
# |, G. g0 q# KLag, 滞后
- Q. v; c; `7 ?& I- K0 {$ ^4 s7 A+ mLarge sample, 大样本; B8 n" l$ x2 B8 C, l6 Z5 M* I( D
Large sample test, 大样本检验) `5 \: _3 K* q" ^( u5 F6 l3 E
Latin square, 拉丁方
' v' S" a" y/ q3 d* TLatin square design, 拉丁方设计
! P( R& u" Z/ h5 H" _Leakage, 泄漏/ T! ] }/ F- D: B
Least favorable configuration, 最不利构形
. V- Q: r5 J& m7 P9 ?Least favorable distribution, 最不利分布% w7 ~5 A+ B( u9 U. U" P$ }
Least significant difference, 最小显著差法& R) Z/ z7 ~5 j
Least square method, 最小二乘法
% B$ }/ t5 T' d! k4 M, kLeast-absolute-residuals estimates, 最小绝对残差估计
+ A6 i3 X0 W* D0 ?8 ALeast-absolute-residuals fit, 最小绝对残差拟合
' D2 q6 X( q+ c3 w& b8 ?* Z4 `3 jLeast-absolute-residuals line, 最小绝对残差线7 ]+ N8 q7 i$ e0 y* M, K6 V6 h
Legend, 图例
' ^9 F7 E0 a5 N! D3 y# K+ W; bL-estimator, L估计量
' {$ U7 h8 o: G) aL-estimator of location, 位置L估计量( d i3 Q c$ E% F
L-estimator of scale, 尺度L估计量
n7 n1 Q: ^! p- I% d8 G; sLevel, 水平8 h8 k5 i5 j! x- r( U
Life expectance, 预期期望寿命
5 R, N" O2 K, C0 K! VLife table, 寿命表. I6 N$ l! @" a- [
Life table method, 生命表法
/ C7 \: y4 e, R6 m1 d1 RLight-tailed distribution, 轻尾分布
; q1 t) C& @. I' P+ ~" SLikelihood function, 似然函数! r; M9 C+ n# |7 o9 G; ?' j. U
Likelihood ratio, 似然比5 t$ d Q: v& k! L2 ?8 x3 ~7 ^
line graph, 线图
8 @* Y3 I! N6 ]; gLinear correlation, 直线相关: c5 }8 M/ Z% f$ S9 Q2 x
Linear equation, 线性方程5 f- Y; q" J- ]# Y+ p
Linear programming, 线性规划) Y9 z: n) n: D U
Linear regression, 直线回归
6 w: e4 H* a" z% X7 F) f" eLinear Regression, 线性回归
" n, s( Q/ k t# a" i' @Linear trend, 线性趋势) T! z0 k2 t1 n) m& _
Loading, 载荷
& j/ Z- @9 I& y1 Y, d% d F5 XLocation and scale equivariance, 位置尺度同变性4 n8 j( Y6 g4 W" A% m" V
Location equivariance, 位置同变性
. \4 O3 n5 a& C" w% D2 iLocation invariance, 位置不变性" d6 p5 P; W' D& N# V7 }1 b4 y4 o
Location scale family, 位置尺度族
: n: J! p1 S, L) ?" d" hLog rank test, 时序检验 7 N0 @7 w3 r) L; ]( w* ]4 e" x
Logarithmic curve, 对数曲线# K; T% x' k1 K8 \
Logarithmic normal distribution, 对数正态分布
( _: M% n3 v% t9 b* `- B( kLogarithmic scale, 对数尺度+ I: y& P# F$ t2 L+ u
Logarithmic transformation, 对数变换
* v1 f7 ]2 u* r: L* \1 w- hLogic check, 逻辑检查8 v4 B7 V7 u" ?3 {7 X8 t
Logistic distribution, 逻辑斯特分布: u% a+ {0 a) X* q$ v
Logit transformation, Logit转换8 I$ d l3 u8 j3 l, ^) D/ x/ H
LOGLINEAR, 多维列联表通用模型 2 I) q: _# G8 }6 f. [/ T9 w
Lognormal distribution, 对数正态分布3 W- ]' o$ h% d. S! [9 K
Lost function, 损失函数- |1 M8 _" c' [5 m
Low correlation, 低度相关
9 C6 U7 O. q+ O) i/ Q* QLower limit, 下限. H3 c# v' h6 Q2 a; D `$ D( p( N
Lowest-attained variance, 最小可达方差) n" {1 z: D8 i7 O
LSD, 最小显著差法的简称
" F- [$ s4 W( w& W" ALurking variable, 潜在变量
# R# X4 ?1 j) l5 VMain effect, 主效应# m% r0 k8 I" ^* A6 Z# o w+ r7 P
Major heading, 主辞标目
. @( C' C- q' L' |" y* m6 ?. qMarginal density function, 边缘密度函数; F4 B) v; J7 ?9 }" W" {; d1 X
Marginal probability, 边缘概率- V& k5 G" o% O% |" r
Marginal probability distribution, 边缘概率分布
& v7 l K8 J% U: D9 l* [8 x/ _+ eMatched data, 配对资料
7 C+ _7 d' C+ M9 {$ @& f% K9 OMatched distribution, 匹配过分布
- x% Q* y$ }& \6 rMatching of distribution, 分布的匹配
/ ?3 z; P: P1 N: RMatching of transformation, 变换的匹配
- @& A9 g: Y( ] ?) m- {6 V+ eMathematical expectation, 数学期望 U+ k) |8 y R" E' o
Mathematical model, 数学模型' d4 N+ z/ \/ @. f6 M
Maximum L-estimator, 极大极小L 估计量
* D# e; S# m9 J5 @ ZMaximum likelihood method, 最大似然法7 c1 s. B5 L! H+ Y
Mean, 均数
& G7 h" b/ K" XMean squares between groups, 组间均方# J2 E4 {, s2 E1 Y. o R
Mean squares within group, 组内均方9 g7 m: Z: f3 n9 s
Means (Compare means), 均值-均值比较; k) Q4 i1 A% Y I+ k3 p
Median, 中位数0 c% T( Q5 b# L/ j0 e% |7 O+ [
Median effective dose, 半数效量
! u' |& x/ Q6 Z* e( F3 hMedian lethal dose, 半数致死量# U2 a5 O% c' _) x$ P
Median polish, 中位数平滑
h) I! s$ T( T0 J9 V0 NMedian test, 中位数检验4 o( K, } ]1 p
Minimal sufficient statistic, 最小充分统计量
, W, W6 @( E; c: P$ EMinimum distance estimation, 最小距离估计
! r# j# H b t e; n3 X5 AMinimum effective dose, 最小有效量
# o5 o0 F# [8 B( ZMinimum lethal dose, 最小致死量
6 i9 P, A7 o: qMinimum variance estimator, 最小方差估计量
) G6 h9 v! U% FMINITAB, 统计软件包
6 S7 G% `; E7 J. L0 n$ [Minor heading, 宾词标目
& e# [; S' C+ ~Missing data, 缺失值, d' c% S- _) `& A
Model specification, 模型的确定
' p [, Z' R3 WModeling Statistics , 模型统计
: s9 y+ O6 P0 V7 H4 tModels for outliers, 离群值模型
/ y e3 k# M0 B/ U. uModifying the model, 模型的修正4 q' `' `/ U/ D0 J5 X
Modulus of continuity, 连续性模
. d0 U( y H0 w( {; UMorbidity, 发病率 8 q7 I# u5 p' l+ e$ u
Most favorable configuration, 最有利构形* L- n0 \) C+ U v8 e, s ^( Y
Multidimensional Scaling (ASCAL), 多维尺度/多维标度' [% \( f) D5 T
Multinomial Logistic Regression , 多项逻辑斯蒂回归& k3 R( p. Q9 u( {$ I
Multiple comparison, 多重比较
% m4 h" \) q8 |: M Y% ^Multiple correlation , 复相关7 E* q1 m: q5 c
Multiple covariance, 多元协方差3 w2 q2 ?* g% S
Multiple linear regression, 多元线性回归7 t# }) {9 @( e% {! |1 l4 D
Multiple response , 多重选项
" d% z7 b+ y& J% o1 H9 R$ k& r8 R9 |Multiple solutions, 多解8 P) \$ U- _. J: q- ?. E+ g# k* p
Multiplication theorem, 乘法定理8 Z5 _1 G& |6 j) i! ]
Multiresponse, 多元响应2 h0 ^: T4 K: a- F V V+ o
Multi-stage sampling, 多阶段抽样3 K, l7 v! t1 y* H. {4 w) ?7 ~
Multivariate T distribution, 多元T分布
9 F$ I; S) X$ u; cMutual exclusive, 互不相容4 R% M+ @4 q) w' Z7 w
Mutual independence, 互相独立' z$ f7 D& B) c6 u
Natural boundary, 自然边界
7 p ~4 \1 p* G- M0 I9 q; qNatural dead, 自然死亡& p7 u( V8 V& W2 Y& `
Natural zero, 自然零3 o) k( o7 ?: Q" G" ?+ ^! Z
Negative correlation, 负相关
5 H7 |6 p. K; R5 rNegative linear correlation, 负线性相关
# _8 p) a4 w* j) T0 E; f0 c* dNegatively skewed, 负偏
" X! Z: f x: M- S9 t' ENewman-Keuls method, q检验 j* r+ `/ R1 q$ [ P' k1 Z7 C
NK method, q检验$ u$ {( W8 m8 `" }
No statistical significance, 无统计意义 N& C' Y1 q4 w. s) k
Nominal variable, 名义变量5 c) L9 I& b, e" C4 ?
Nonconstancy of variability, 变异的非定常性
4 c4 e3 j o8 T9 C) [Nonlinear regression, 非线性相关
7 F% { X: Y3 QNonparametric statistics, 非参数统计+ d* `9 L/ H4 o/ Z5 E& \) l
Nonparametric test, 非参数检验
2 M7 D1 f3 A7 q2 wNonparametric tests, 非参数检验
( Y% @2 Y; Z1 b8 P4 c4 A6 ]2 iNormal deviate, 正态离差" Z9 o, B3 T2 h5 y! c; l9 C6 D
Normal distribution, 正态分布2 E2 E/ M" t3 ^/ W" g/ P, u9 C
Normal equation, 正规方程组
7 W2 H" L9 S% `6 INormal ranges, 正常范围
: s5 N, L4 y6 `3 aNormal value, 正常值
4 x0 c+ N7 a7 j8 lNuisance parameter, 多余参数/讨厌参数; Z! f; j" P w R
Null hypothesis, 无效假设 3 I6 o8 j8 ^' U* x
Numerical variable, 数值变量
+ ?& P1 N' p( x- l: fObjective function, 目标函数4 x: M- n0 {$ [1 D y0 j: V
Observation unit, 观察单位( u* b% _- m( D7 _4 ^* g" X5 `
Observed value, 观察值
0 O6 `& W$ W3 }One sided test, 单侧检验
3 @! S/ `: D* N! V, b) AOne-way analysis of variance, 单因素方差分析" ~# N2 w: H5 J: s% i
Oneway ANOVA , 单因素方差分析" {1 E5 ~1 P( X4 C7 V
Open sequential trial, 开放型序贯设计! |' V5 g) F5 R- M+ s8 K
Optrim, 优切尾
0 Z9 n4 q& g6 l/ JOptrim efficiency, 优切尾效率 {' J" e5 J5 q9 y* r
Order statistics, 顺序统计量( q8 O# M j, O% J. f
Ordered categories, 有序分类
9 |/ E5 h" R: m8 d, e' o1 t" ]Ordinal logistic regression , 序数逻辑斯蒂回归
, e. i# p Z5 D: }& KOrdinal variable, 有序变量
. Z& `; q3 Q. w1 `% i+ KOrthogonal basis, 正交基% ^' G1 _* g4 l* W/ N* i, F6 i
Orthogonal design, 正交试验设计; `! b7 E7 i4 ^
Orthogonality conditions, 正交条件2 Y' E) B! l4 e+ v, t( D
ORTHOPLAN, 正交设计 # V, s0 P3 E5 Q" \# p# B4 w1 g
Outlier cutoffs, 离群值截断点 I$ H) R/ S' w; T
Outliers, 极端值
% v, o+ ^( X; }1 ?$ wOVERALS , 多组变量的非线性正规相关 ' s, ^8 e/ J- n) V, l
Overshoot, 迭代过度
* @, l+ d4 H, @. q' `/ G$ wPaired design, 配对设计
& T# q3 j! o- z5 P$ m7 `. aPaired sample, 配对样本6 _, Q c: M5 c& ~8 s; P
Pairwise slopes, 成对斜率9 j1 U3 f. R( \ ~- t% ~
Parabola, 抛物线5 D7 H! {, S& }- w/ S& p2 j
Parallel tests, 平行试验" w% Z2 o% a+ T. a9 X" |
Parameter, 参数
1 L/ K+ M9 v7 U$ |# a! Y" _$ iParametric statistics, 参数统计
n! \' M# F! z" T) c) t+ m, MParametric test, 参数检验
' O! s; S* C% C5 e: A# APartial correlation, 偏相关1 E* V/ V: c0 S7 I* _7 D
Partial regression, 偏回归9 H _. p% z, _) o6 Z5 G1 f. |+ N
Partial sorting, 偏排序1 a* W- N/ |# `7 k* T; K/ ?
Partials residuals, 偏残差; }5 }7 N! C# ]# i( t* F
Pattern, 模式
) S; @7 Q" s) S7 ^9 v3 D, mPearson curves, 皮尔逊曲线
2 T# ` N* j( @Peeling, 退层
1 Q2 f2 h, B8 ~8 q# ~; }Percent bar graph, 百分条形图3 T* W* I$ ^- ?- o8 H! y
Percentage, 百分比
7 ]% W4 o' N3 l/ e# @+ j+ aPercentile, 百分位数
3 l+ a/ }! w8 A9 B: H& @7 \Percentile curves, 百分位曲线& r0 o c; m( \
Periodicity, 周期性
3 u: p( m* j/ w5 N6 pPermutation, 排列 _/ J! {1 J- t/ v) }
P-estimator, P估计量
' P1 I7 c" K( a3 u9 fPie graph, 饼图/ B6 ~; I( v. m- L: D% I# q
Pitman estimator, 皮特曼估计量
! z0 y& d- }, H" KPivot, 枢轴量+ G$ c6 Q( t2 S; d9 w9 D/ ?
Planar, 平坦! `+ H; { N( U* k
Planar assumption, 平面的假设
" t' c' l! h3 hPLANCARDS, 生成试验的计划卡: q; t) ~) G' O5 i, v/ ~
Point estimation, 点估计2 L) V4 A$ H! ~% d& s
Poisson distribution, 泊松分布
% t, v5 F2 o9 {6 ]3 t3 sPolishing, 平滑# t* f' w" m. b2 N& d6 \
Polled standard deviation, 合并标准差
. Q4 F0 I% K6 Y& b" i6 hPolled variance, 合并方差3 o) T& |( y" u6 ]3 U
Polygon, 多边图1 F+ z3 F0 N; \# }5 @+ c
Polynomial, 多项式1 ?& h* M+ J! g8 ~% g9 E v8 \
Polynomial curve, 多项式曲线
. W/ ^8 S0 c- M/ s v) {" F' [Population, 总体
2 `7 w. @6 o2 Z, yPopulation attributable risk, 人群归因危险度
: k: I1 D5 j# K5 r z7 d( I# PPositive correlation, 正相关, f" p, M' C2 D! O9 _8 A
Positively skewed, 正偏
0 `0 V4 j( J* }" S4 m; lPosterior distribution, 后验分布2 M5 \1 s( d, B, ?
Power of a test, 检验效能1 ^- a* h C `) t
Precision, 精密度
9 F5 }% u4 f0 UPredicted value, 预测值4 ]- E' X5 ]$ `
Preliminary analysis, 预备性分析$ y+ E1 @: O( R* n3 h
Principal component analysis, 主成分分析1 X9 r7 g8 f( S7 |7 V% i7 C7 [
Prior distribution, 先验分布
6 p6 j; I) v; v9 c- A% hPrior probability, 先验概率3 \3 m7 W5 v: w$ N$ C: ?; g
Probabilistic model, 概率模型% I' k9 n' J: }4 d: ~+ g$ i4 Z' h
probability, 概率- ]1 E9 r& S2 S4 f
Probability density, 概率密度
! b& o$ }, C+ H7 ]5 C% j3 }Product moment, 乘积矩/协方差$ {$ J# { a* ?: W/ N/ o9 c
Profile trace, 截面迹图
4 ]/ c$ L8 A4 l3 u& r7 I/ J6 AProportion, 比/构成比+ H! U$ Y) P; v( |7 \
Proportion allocation in stratified random sampling, 按比例分层随机抽样
' l5 g% x2 ] x e, c+ w& p5 e* PProportionate, 成比例0 g i& z$ {* V
Proportionate sub-class numbers, 成比例次级组含量: l8 l- j3 e" e) ^' ^$ C
Prospective study, 前瞻性调查. c' [; [. e; V: x6 r. n
Proximities, 亲近性 1 V* j" K* H# y& S0 |
Pseudo F test, 近似F检验
/ y& w0 h/ @) m! B0 r) q$ [$ vPseudo model, 近似模型
J; z6 W% M! K3 z! {Pseudosigma, 伪标准差
z: o! k+ k ZPurposive sampling, 有目的抽样
0 g% k3 z5 ^) f" X: JQR decomposition, QR分解
* N2 P& i8 b/ p' mQuadratic approximation, 二次近似
- a: o6 ~; d6 ~Qualitative classification, 属性分类
5 M+ z3 d& W' w3 A1 r; }Qualitative method, 定性方法" Y0 ^0 b: i" u
Quantile-quantile plot, 分位数-分位数图/Q-Q图
' n) W8 o: }0 }8 k1 {! X8 E0 kQuantitative analysis, 定量分析
3 |) ]6 w5 F$ N, SQuartile, 四分位数
" }/ x% n1 l# c0 JQuick Cluster, 快速聚类
% r' ?6 o8 E; m5 D! s- h: URadix sort, 基数排序* Z/ I( y& X$ z& t {
Random allocation, 随机化分组" a: W R {0 k) F$ V) T
Random blocks design, 随机区组设计
+ A. l+ a+ r, ]5 E# {* X7 s1 e6 URandom event, 随机事件
* @5 Q3 Q' Q# o8 B" ^" r8 R: E JRandomization, 随机化6 f$ e: @$ v# c& K; o6 n7 y9 h
Range, 极差/全距
b& i9 X: B- ^2 [! jRank correlation, 等级相关7 k7 n% X O3 }+ P4 A( ?, L; ~
Rank sum test, 秩和检验. ?7 b. N0 I7 @8 M
Rank test, 秩检验
( @$ |* V* f* nRanked data, 等级资料; C; X0 O; Y, o+ X4 @9 d6 \
Rate, 比率
( d) X8 ~$ u. a9 E1 U/ R8 n/ J; V7 DRatio, 比例. u h# E9 q9 Q$ g4 y$ {
Raw data, 原始资料
0 q+ Z: d' j0 [8 Y6 ZRaw residual, 原始残差
. D! l F3 T! k- eRayleigh's test, 雷氏检验
3 y) C2 ?( c: X" Z- ] U% U# NRayleigh's Z, 雷氏Z值 % a( G$ y8 ], l
Reciprocal, 倒数
0 ~2 v6 [5 N N& h0 M! ]% JReciprocal transformation, 倒数变换/ ?6 ~8 {; r$ J i
Recording, 记录, J, D* R8 J! x# E
Redescending estimators, 回降估计量 f0 {, f; x2 _2 |2 p5 C) j* B
Reducing dimensions, 降维
6 g# [: ?3 r' p3 }1 h( KRe-expression, 重新表达( J* m6 p5 b6 c, F6 w
Reference set, 标准组7 {& s, l: c2 A
Region of acceptance, 接受域
$ r/ }& g$ d" {4 a8 _Regression coefficient, 回归系数
% ~3 u( O5 F# a6 _( K5 ~* jRegression sum of square, 回归平方和
6 X) f: ?) E# @2 a1 T+ y2 URejection point, 拒绝点$ J/ i; l, N4 u% H1 G t4 ?
Relative dispersion, 相对离散度
0 A' q! n% b9 Z9 ERelative number, 相对数
# f! s. O" C1 A+ q- p0 P9 ^8 t. P% OReliability, 可靠性
7 d3 N7 V, g( R: A& q, c; P9 ~Reparametrization, 重新设置参数; l# z2 ~6 w$ X$ Q4 U4 s
Replication, 重复6 B% l3 b0 _2 u, R
Report Summaries, 报告摘要
9 a- m8 D2 k+ C, u' Y5 [7 aResidual sum of square, 剩余平方和
- r' N! |( L G0 Y$ \4 @1 S: VResistance, 耐抗性
/ A5 W+ m+ E% D8 V# z; G) GResistant line, 耐抗线, H5 O" q1 }. @2 Q1 v+ A, c
Resistant technique, 耐抗技术
& n0 H% z9 @0 d# u$ z. l: UR-estimator of location, 位置R估计量
5 N2 j2 |& ?/ N. x3 k, I) W* i8 f9 O4 cR-estimator of scale, 尺度R估计量
6 E( l/ [5 u+ y$ y6 E2 GRetrospective study, 回顾性调查: h/ g" ]/ V9 J! a. B
Ridge trace, 岭迹* H2 d' ? ~- s2 i& ~$ R
Ridit analysis, Ridit分析
1 U2 x- c1 l' P! q& r4 URotation, 旋转4 Y- x% i0 Q8 V. A- B' Q
Rounding, 舍入. u; |% o2 T% I7 f h
Row, 行" Y! K( E) P8 S4 A
Row effects, 行效应4 z9 x0 ^0 k$ ]8 P
Row factor, 行因素" v0 S* N4 ^/ D, v: e6 i: v
RXC table, RXC表2 d* Q/ y3 b3 |- w# {! m
Sample, 样本
% q# f3 M7 K; E' O6 u, w5 O7 i; X7 mSample regression coefficient, 样本回归系数) P/ |/ G5 P! i1 M8 k, F
Sample size, 样本量
' a8 v- ~. z- FSample standard deviation, 样本标准差
' ]0 U2 M6 \' T+ T! hSampling error, 抽样误差
7 t: P6 k/ O% H, HSAS(Statistical analysis system ), SAS统计软件包
$ F7 Y! k9 p- B' \( R ?# V) cScale, 尺度/量表- u2 F y( O* [% M
Scatter diagram, 散点图" D) @! K* e0 O2 \
Schematic plot, 示意图/简图+ Z) p/ W$ j' {: G. ]" K; X
Score test, 计分检验
) |% p8 b6 @5 E$ @/ J1 m8 v% e& nScreening, 筛检5 o/ u9 _# L9 T. N7 B( c
SEASON, 季节分析 3 P# E+ E ^3 U- Q" r6 _0 ~; f* T
Second derivative, 二阶导数
; K' m i% q M7 \+ j! T Z% f6 YSecond principal component, 第二主成分
+ Q6 n ]7 f4 _5 o1 @: o( HSEM (Structural equation modeling), 结构化方程模型
9 G! {: [7 }3 H: T8 Y% XSemi-logarithmic graph, 半对数图2 s5 p {$ X/ p5 d g
Semi-logarithmic paper, 半对数格纸
1 C5 \( s( p% Z* J- ?: LSensitivity curve, 敏感度曲线6 y$ \9 z# T, W! y3 j4 w, X" A9 ^
Sequential analysis, 贯序分析
. a- X2 k2 C8 xSequential data set, 顺序数据集+ P" J$ h% A s7 M" |6 x' X
Sequential design, 贯序设计9 ]: L, O; s1 f O( J
Sequential method, 贯序法8 W4 V+ u7 c; ~) T _- g# m
Sequential test, 贯序检验法
: @3 k) n7 ]5 f$ j( g3 u7 L& J6 ESerial tests, 系列试验
( e& k% ~8 C5 Z; h0 h1 H4 `Short-cut method, 简捷法
) |5 r" s" P# B' M' J; `Sigmoid curve, S形曲线! P6 x: F/ ^% W. @- O! @7 d& ]+ [
Sign function, 正负号函数
0 `( p5 r1 h7 O# X" J5 O; C( K' aSign test, 符号检验; o* U8 W) J* _, x
Signed rank, 符号秩
9 a) u" V- i1 g3 J8 ` DSignificance test, 显著性检验* I* h3 Y# p" q k
Significant figure, 有效数字: V5 Z9 X1 L+ J& D% Q! T# R
Simple cluster sampling, 简单整群抽样- ~. y" J1 J2 T1 q1 y+ u
Simple correlation, 简单相关% M0 q) I2 ^6 X V6 c9 [
Simple random sampling, 简单随机抽样
$ t: H4 L* E1 USimple regression, 简单回归+ C8 B1 a, T& n G& ~/ Y
simple table, 简单表, M* P4 F1 I4 U8 B3 H& n
Sine estimator, 正弦估计量2 [/ R& m' Z3 ?+ x
Single-valued estimate, 单值估计
$ L; X2 U7 P3 l# o$ S2 XSingular matrix, 奇异矩阵! Y, d0 t& o4 @+ P5 O& c& p1 Z" J
Skewed distribution, 偏斜分布4 V# U( B( x8 {( i. ~9 i
Skewness, 偏度
9 Y7 t* K/ g* z. B+ tSlash distribution, 斜线分布" @: B9 @& u5 o3 ]
Slope, 斜率& l6 d" @0 U+ b8 \& M
Smirnov test, 斯米尔诺夫检验
8 U9 `, t- k% h' e5 ]Source of variation, 变异来源
% K1 r+ z7 \6 h: I- w" n2 LSpearman rank correlation, 斯皮尔曼等级相关 D0 \, c0 h! Y' L0 _6 z! K
Specific factor, 特殊因子
; _* [5 ~1 z3 O+ |' GSpecific factor variance, 特殊因子方差
9 i$ \* v3 f. n: a4 L3 C( P: cSpectra , 频谱
+ `" S/ x q, B9 Q" }9 t9 hSpherical distribution, 球型正态分布
0 ~: W# e: O8 P' r7 @, NSpread, 展布
2 d4 K& S3 h- d, N1 }' g6 kSPSS(Statistical package for the social science), SPSS统计软件包
/ K" Y6 T3 }' O# _' J% A: ]Spurious correlation, 假性相关! J* a8 z+ l) L, d! T
Square root transformation, 平方根变换
8 G7 h% }% m1 i/ \Stabilizing variance, 稳定方差
. m. q6 ]. J \% @8 bStandard deviation, 标准差4 ~# z% w/ P3 i1 w
Standard error, 标准误
3 \5 y' C$ l1 J. GStandard error of difference, 差别的标准误9 m8 g& T" q+ B& R( x/ F7 s" ?: E2 D
Standard error of estimate, 标准估计误差, ?$ Y7 z" c& E. t: X9 l9 e) w; l
Standard error of rate, 率的标准误/ g: P/ h1 [! _. w* ?- L$ b
Standard normal distribution, 标准正态分布1 q% K# `. O0 u* K5 K2 r5 c
Standardization, 标准化
: V" b8 u% Z* JStarting value, 起始值) a2 Q( j) P. ~1 V1 Z
Statistic, 统计量+ z3 U9 a, z- w: m2 R
Statistical control, 统计控制7 L& @. X( U8 b) ?( t
Statistical graph, 统计图
7 ]0 c6 b* I9 ?/ u! cStatistical inference, 统计推断
& v+ ]3 h/ }5 V2 HStatistical table, 统计表 X G' x3 z6 g2 ]
Steepest descent, 最速下降法( R# s! m/ t$ ]1 v9 Z
Stem and leaf display, 茎叶图
3 J/ H6 [. W. I9 ]: q9 eStep factor, 步长因子2 g* i$ ]9 r" L9 y6 M7 X" f3 u1 m
Stepwise regression, 逐步回归) C" Y7 i6 o$ U5 J3 U1 }7 ~
Storage, 存
9 O9 N9 \3 q* O/ kStrata, 层（复数）+ E, T( N5 w0 W9 v9 I
Stratified sampling, 分层抽样
. z5 F+ R8 u; q! d3 C/ qStratified sampling, 分层抽样# \4 C. u/ ~& n
Strength, 强度. k* `4 M3 s" Z+ l2 L2 x
Stringency, 严密性; f& M. K% }' M2 H# O
Structural relationship, 结构关系) [" J: s, w" O1 @
Studentized residual, 学生化残差/t化残差
: ]- z+ N; ?; |+ u9 R% h- DSub-class numbers, 次级组含量
0 m! u1 O$ M7 ?) U gSubdividing, 分割- v* s) s/ G+ Z! v0 {
Sufficient statistic, 充分统计量
! p+ P# b3 i+ S$ K( a4 YSum of products, 积和" k. l S8 z m6 R% A! B0 C
Sum of squares, 离差平方和
) @4 U1 b% ^+ WSum of squares about regression, 回归平方和
; c; m) Y/ l7 c! c+ u; Z8 _Sum of squares between groups, 组间平方和% H6 ]8 a7 \- w; M* ]0 X a, G g
Sum of squares of partial regression, 偏回归平方和8 H( E1 j4 a* M, w7 V* x
Sure event, 必然事件
) z, A0 `- L& H9 ?- b0 D/ l% U: bSurvey, 调查" L# i. ~$ s; ~; g; S& ^, G
Survival, 生存分析, K; y0 e @# c9 F. o
Survival rate, 生存率
9 `: A: K) |2 T' i ?* F9 }- p4 QSuspended root gram, 悬吊根图8 Z, H9 @) b# W$ R- l4 n6 N3 K
Symmetry, 对称8 Y) c4 I6 ~. |1 C: R
Systematic error, 系统误差3 A, x, y- P1 h P" Z* ?
Systematic sampling, 系统抽样
/ n$ z; f! C, _4 [3 iTags, 标签
# R) q* {9 r4 {, C, l# q( eTail area, 尾部面积9 ?) U0 z& H% v7 r0 k/ [1 d
Tail length, 尾长
1 w+ S( O; p a# Q$ nTail weight, 尾重
. j) l, z4 i% d/ ~Tangent line, 切线
& n, U0 o0 {: [7 KTarget distribution, 目标分布
; _1 I s: J5 l7 B5 uTaylor series, 泰勒级数9 I: b: a2 ]% J. b
Tendency of dispersion, 离散趋势
1 v& S, D% G4 _ f8 K/ J4 ATesting of hypotheses, 假设检验) |/ A6 z& M! D( g2 Y
Theoretical frequency, 理论频数
8 t r. B- R( e2 `4 e; FTime series, 时间序列
! H+ z. ` l, e3 g8 ?Tolerance interval, 容忍区间" x- x1 J! q1 z$ f' m$ G3 z, B
Tolerance lower limit, 容忍下限 F; Y3 _! O3 q' K/ q: g3 F3 I
Tolerance upper limit, 容忍上限
. x' o+ O# }9 KTorsion, 扰率. K( X3 u- j |' T1 p, b
Total sum of square, 总平方和
. W5 H' T5 h9 D9 H0 g3 j9 STotal variation, 总变异
1 Y. `# C& H2 e" o l2 x Y# mTransformation, 转换/ d) c3 k" Z7 X' {1 Q) ~, D$ u
Treatment, 处理0 ?7 S r4 i, n L. [( M2 R0 R
Trend, 趋势' j6 t# v, b6 N6 K9 o4 a5 y6 C* i3 }; r
Trend of percentage, 百分比趋势* \6 ?' t7 f2 U0 o3 W
Trial, 试验
# f1 c$ S" S3 H- ITrial and error method, 试错法; V; F6 S2 @) h
Tuning constant, 细调常数
, b! l+ X1 y$ k E& R9 GTwo sided test, 双向检验
# `% k; h5 ~% k% K0 n* ]Two-stage least squares, 二阶最小平方
% ?2 q" F2 Y3 G0 Q$ q! TTwo-stage sampling, 二阶段抽样6 {& U% B( J9 a2 x9 i9 h
Two-tailed test, 双侧检验% L/ D# ~0 X& N% g
Two-way analysis of variance, 双因素方差分析- r& u& D9 ?8 P& G7 c
Two-way table, 双向表9 d% Y/ s6 V* O( v
Type I error, 一类错误/α错误" d. P8 b* z% x
Type II error, 二类错误/β错误: H9 b0 s5 U+ @1 S! p
UMVU, 方差一致最小无偏估计简称
8 d3 G0 n7 d( ^& e4 n- ^Unbiased estimate, 无偏估计" l- h3 F" Q- H
Unconstrained nonlinear regression , 无约束非线性回归& c, Z4 U/ f* P3 l( G. k# V! c
Unequal subclass number, 不等次级组含量
+ I% _# P1 Z. K( h- _; e+ l" CUngrouped data, 不分组资料5 I9 ^/ M7 P) A: V! U( r' T0 y
Uniform coordinate, 均匀坐标9 K2 O! }8 @9 ?9 F+ V
Uniform distribution, 均匀分布
+ l: F! [+ G( @* n8 l+ p% PUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
- g7 ^; j/ f$ M& O( R& ^3 O% SUnit, 单元
# z8 g& {1 I2 T/ C& N$ W' aUnordered categories, 无序分类( b' R8 p3 ~! ?" F( @8 _7 S
Upper limit, 上限9 @- A# X7 Z( f7 G4 g. d3 V* u
Upward rank, 升秩. E5 O/ x2 x; ~
Vague concept, 模糊概念
l) T( Q" y) VValidity, 有效性 i: v$ U( C8 @8 }6 U& L
VARCOMP (Variance component estimation), 方差元素估计4 I- C0 I: R& J6 z1 X3 K. A3 [
Variability, 变异性) x7 [- L$ z; z: @
Variable, 变量. \" A$ _- h% C# }
Variance, 方差
( l' f; P% ?: x# s& q/ SVariation, 变异( a9 l' n% Z' [/ V
Varimax orthogonal rotation, 方差最大正交旋转3 l* b5 H, `# K! [/ k/ s6 `7 j
Volume of distribution, 容积- l) C; H7 U1 }' v' w% M
W test, W检验, x/ ^6 H5 b8 I$ y8 @
Weibull distribution, 威布尔分布
n; }; l3 E+ a) s1 l& wWeight, 权数; D3 ~0 i9 |- H3 g
Weighted Chi-square test, 加权卡方检验/Cochran检验: S" P' @* M o( c$ R( g- K
Weighted linear regression method, 加权直线回归
( r7 W9 m6 `+ [: yWeighted mean, 加权平均数
X" Z) M( c% V2 U8 I: SWeighted mean square, 加权平均方差9 Y6 K4 h. |% x0 }# A6 h
Weighted sum of square, 加权平方和
& `1 t7 W" j8 `Weighting coefficient, 权重系数
4 D0 c4 E6 O* a' o* e6 |8 G. aWeighting method, 加权法
9 O* |2 s% M# OW-estimation, W估计量# r# ?2 o+ _) E2 f! C& O+ Q
W-estimation of location, 位置W估计量
5 z; x9 t/ f0 OWidth, 宽度
5 I$ ~- V3 a2 [Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
5 l* n6 x3 U$ J2 D/ z2 JWild point, 野点/狂点+ c b4 O* p% r. O. v9 \
Wild value, 野值/狂值
5 G( {: @' q. hWinsorized mean, 缩尾均值
9 U" I) W, w( t# l( wWithdraw, 失访
+ t) f$ [* P. C) `5 A, f, _- lYouden's index, 尤登指数
$ A0 I- @ M$ Y9 w) b$ OZ test, Z检验
# G' l- h2 Q- F! S) cZero correlation, 零相关
7 t1 ?3 O) Q% C/ h. P0 j/ qZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
